The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-17"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "21881858 (up from 21672186 yesterday: 0.97 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "774034 (up from 775244 yesterday: -0.16 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5394189

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.54



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5438325 35112 0.65 1147988 170497 445 0.26 3.14
Brazil 3359570 19373 0.58 917195 108536 684 0.63 3.23
India 2702681 55018 2.08 1222608 51797 876 1.72 1.92
Russia 925558 4839 0.53 108878 15707 54 0.34 1.70
South Africa 589886 2541 0.43 137357 11982 143 1.21 2.03
Peru 535946 10143 1.93 146229 26281 206 0.79 4.90
Mexico 525733 3571 0.68 130244 57023 266 0.47 10.85
Colombia 476660 8328 1.78 219559 15372 275 1.82 3.22
Chile 387502 1556 0.40 39579 10513 61 0.58 2.71
Spain 359082 16269 4.75 80300 28646 29 0.10 7.98
Iran 345450 2247 0.65 51844 19804 165 0.84 5.73
United Kingdom 321064 721 0.23 19356 41454 -5337 -11.41 12.91
Saudi Arabia 299914 1372 0.46 30980 3436 28 0.82 1.15
Argentina 299126 4557 1.55 131710 5814 111 1.95 1.94
Pakistan 289215 0 0.00 14926 6175 0 0.00 2.14
Bangladesh 279144 2595 0.94 52919 3694 37 1.01 1.32
France 256533 3568 1.41 36181 30434 24 0.08 11.86
Italy 254235 320 0.13 7949 35400 4 0.01 13.92
Turkey 250542 1233 0.49 23523 5996 22 0.37 2.39
Germany 226700 1693 0.75 19588 9236 1 0.01 4.07
Iraq 180133 3202 1.81 67548 5954 94 1.60 3.31
Philippines 164474 3221 2.00 82434 2681 16 0.60 1.63
Indonesia 141370 1821 1.30 41067 6207 57 0.93 4.39
Canada 124218 214 0.17 7747 9075 1 0.01 7.31
Qatar 115368 288 0.25 5771 193 0 0.00 0.17
Kazakhstan 103300 267 0.26 18652 1269 0 0.00 1.23
Ecuador 101751 209 0.21 20590 6083 13 0.21 5.98
Bolivia 101223 879 0.88 30042 4123 65 1.60 4.07
Egypt 96590 115 0.12 4108 5173 13 0.25 5.36
Ukraine 95007 1517 1.62 27911 2122 22 1.05 2.23
Israel 94751 2071 2.23 30766 692 7 1.02 0.73
China 89441 66 0.07 2658 4703 0 0.00 5.26
Dominican Republic 86737 428 0.50 22581 1481 28 1.93 1.71
Sweden 85045 751 0.89 5650 5787 4 0.07 6.80
Oman 83226 140 0.17 6168 588 16 2.80 0.71
Panama 82543 603 0.74 21101 1788 21 1.19 2.17
Belgium 78534 211 0.27 12106 9944 5 0.05 12.66
Kuwait 76827 622 0.82 12448 502 1 0.20 0.65
Romania 71194 733 1.04 25292 3029 38 1.27 4.25
Belarus 69589 73 0.11 2338 613 3 0.49 0.88
Netherlands 64980 512 0.79 11556 6194 0 0.00 9.53
United Arab Emirates 64541 229 0.36 5364 364 0 0.00 0.56
Guatemala 62944 382 0.61 17635 2389 10 0.42 3.80
Poland 57279 595 1.05 13877 1885 8 0.43 3.29
Japan 56717 643 1.15 25575 1112 9 0.82 1.96
Singapore 55838 91 0.16 5000 27 0 0.00 0.05
Portugal 54234 132 0.24 3935 1779 1 0.06 3.28
Honduras 50995 493 0.98 11254 1583 8 0.51 3.10
Nigeria 49485 417 0.85 8305 977 2 0.21 1.97
Bahrain 47185 350 0.75 7703 173 3 1.76 0.37
Morocco 43558 1069 2.52 22671 681 23 3.50 1.56
Ghana 42653 121 0.28 9029 239 8 3.46 0.56
Kyrgyzstan 41991 135 0.32 8695 1496 1 0.07 3.56
Armenia 41701 38 0.09 4311 824 6 0.73 1.98
Algeria 39025 442 1.15 11052 1379 9 0.66 3.53
Switzerland 38252 128 0.34 3775 1991 0 0.00 5.20
Afghanistan 37599 3 0.01 1336 1375 0 0.00 3.66
Uzbekistan 35702 373 1.06 14493 236 4 1.72 0.66
Venezuela 34802 1047 3.10 18814 288 7 2.49 0.83
Azerbaijan 34343 124 0.36 3897 508 2 0.40 1.48
Ethiopia 31336 1460 4.89 16789 544 16 3.03 1.74
Moldova 30377 194 0.64 7223 908 12 1.34 2.99
Kenya 30365 245 0.81 12390 482 8 1.69 1.59
Serbia 29782 100 0.34 5641 677 3 0.45 2.27
Costa Rica 29084 619 2.17 13243 304 10 3.40 1.05
Ireland 27313 56 0.21 1421 1774 0 0.00 6.50
Nepal 27241 581 2.18 8489 107 3 2.88 0.39
Australia 23773 215 0.91 8470 438 17 4.04 1.84
Austria 23534 164 0.70 2976 729 1 0.14 3.10
El Salvador 23193 281 1.23 8158 618 6 0.98 2.66
Czechia 20202 190 0.95 4686 399 2 0.50 1.98
Cameroon 18582 113 0.61 1472 403 2 0.50 2.17
Cote d’Ivoire 17107 81 0.48 1452 110 0 0.00 0.64
West Bank and Gaza 16844 310 1.87 6223 113 3 2.73 0.67
Denmark 16127 124 0.77 2352 621 0 0.00 3.85
Bosnia and Herzegovina 16111 310 1.96 5613 486 15 3.18 3.02
Korea, South 15761 246 1.59 1558 306 1 0.33 1.94
Bulgaria 14500 135 0.94 3879 512 14 2.81 3.53
Madagascar 13886 59 0.43 4196 171 1 0.59 1.23
North Macedonia 12840 101 0.79 2627 547 3 0.55 4.26
Sudan 12410 96 0.78 986 803 5 0.63 6.47
Senegal 12237 75 0.62 2473 256 3 1.19 2.09
Kosovo 11275 0 0.00 3862 390 0 0.00 3.46
Paraguay 10135 344 3.51 5587 145 7 5.07 1.43
Norway 10060 55 0.55 928 261 0 0.00 2.59

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 629415 5542 0.89 171294 11296 53 0.47 1.79 15929.63 285.89 1 in 63
Florida 576094 2678 0.47 143347 9539 87 0.92 1.66 26822.84 444.13 1 in 37
Texas 561110 5716 1.03 160774 10447 51 0.49 1.86 19351.37 360.29 1 in 52
New York 425916 408 0.10 13572 32846 6 0.02 7.71 21893.99 1688.43 1 in 46
Georgia 238861 1831 0.77 68018 4727 25 0.53 1.98 22497.08 445.21 1 in 44
Illinois 209185 1773 0.85 35291 7967 12 0.15 3.81 16507.89 628.72 1 in 61
Arizona 194005 468 0.24 30178 4506 0 0.00 2.32 25477.05 591.74 1 in 39
New Jersey 187767 312 0.17 7955 15916 4 0.03 8.48 21139.72 1791.90 1 in 47
North Carolina 145516 564 0.39 30600 2348 1 0.04 1.61 13874.41 223.87 1 in 72
Louisiana 138485 567 0.41 28568 4526 19 0.42 3.27 29789.45 973.59 1 in 34
Tennessee 134744 1036 0.77 38255 1387 21 1.54 1.03 19719.09 202.98 1 in 51
Pennsylvania 129647 577 0.45 16652 7453 0 0.00 5.75 10127.10 582.18 1 in 99
Massachusetts 123841 248 0.20 7915 8842 4 0.05 7.14 17820.12 1272.32 1 in 56
Ohio 109062 775 0.72 23885 3832 6 0.16 3.51 9330.23 327.83 1 in 107
Alabama 109004 571 0.53 27889 1925 27 1.42 1.77 22231.26 392.60 1 in 45
Virginia 107421 734 0.69 21349 2385 4 0.17 2.22 12585.17 279.42 1 in 79
South Carolina 106953 456 0.43 24536 2288 19 0.84 2.14 20772.76 444.38 1 in 48
Michigan 102749 490 0.48 15576 6592 0 0.00 6.42 10288.42 660.07 1 in 97
Maryland 100715 503 0.50 15839 3641 2 0.05 3.62 16659.00 602.25 1 in 60
Indiana 81006 591 0.73 18099 3135 2 0.06 3.87 12032.59 465.67 1 in 83
Mississippi 72412 276 0.38 19631 2095 11 0.53 2.89 24330.77 703.93 1 in 41
Missouri 69225 1029 1.51 25736 1415 32 2.31 2.04 11279.15 230.55 1 in 89
Washington 67721 260 0.39 14400 1785 4 0.22 2.64 8893.23 234.41 1 in 112
Wisconsin 66196 455 0.69 16779 1039 0 0.00 1.57 11369.13 178.45 1 in 88
Minnesota 65716 564 0.87 13913 1758 6 0.34 2.68 11652.53 311.72 1 in 86
Nevada 61967 662 1.08 18136 1077 5 0.47 1.74 20118.14 349.66 1 in 50
Colorado 53351 194 0.36 8804 1896 0 0.00 3.55 9264.36 329.24 1 in 108
Arkansas 53077 412 0.78 13630 603 4 0.67 1.14 17587.83 199.81 1 in 57
Iowa 52829 382 0.73 10133 987 12 1.23 1.87 16744.16 312.83 1 in 60
Connecticut 51267 370 0.73 2284 4456 3 0.07 8.69 14379.49 1249.83 1 in 70
Oklahoma 48711 369 0.76 16026 665 4 0.61 1.37 12310.17 168.06 1 in 81
Utah 46894 242 0.52 8485 364 1 0.28 0.78 14627.14 113.54 1 in 68
Kentucky 39691 761 1.95 12105 818 8 0.99 2.06 8884.04 183.09 1 in 113
Kansas 34614 729 2.15 8810 406 0 0.00 1.17 11881.31 139.36 1 in 84
Nebraska 30563 191 0.63 5664 362 1 0.28 1.18 15799.67 187.14 1 in 63
Idaho 27937 281 1.02 9245 273 4 1.49 0.98 15589.28 152.34 1 in 64
Puerto Rico 26760 754 2.90 11329 335 0 0.00 1.25 8379.01 104.89 1 in 119
New Mexico 23500 92 0.39 3998 718 4 0.56 3.06 11207.40 342.42 1 in 89
Oregon 23451 189 0.81 6363 388 0 0.00 1.65 5560.09 91.99 1 in 180
Rhode Island 20572 237 1.17 2057 1023 2 0.20 4.97 19419.25 965.68 1 in 51
Delaware 16536 85 0.52 2130 593 0 0.00 3.59 16981.53 608.98 1 in 59
District of Columbia 13273 53 0.40 1415 597 0 0.00 4.50 18806.97 845.91 1 in 53
South Dakota 10360 86 0.84 1916 153 0 0.00 1.48 11710.73 172.95 1 in 85
North Dakota 8647 60 0.70 2661 126 1 0.80 1.46 11346.85 165.34 1 in 88
West Virginia 8641 74 0.86 2642 160 0 0.00 1.85 4835.08 89.53 1 in 207
New Hampshire 7004 16 0.23 563 423 0 0.00 6.04 5151.09 311.10 1 in 194
Montana 5792 42 0.73 2412 82 0 0.00 1.42 5419.27 76.72 1 in 185
Hawaii 5215 173 3.43 3504 40 0 0.00 0.77 3683.24 28.25 1 in 271
Alaska 4309 50 1.17 1686 28 0 0.00 0.65 5890.27 38.28 1 in 170
Maine 4197 29 0.70 365 127 0 0.00 3.03 3122.28 94.48 1 in 320
Wyoming 3331 45 1.37 811 30 0 0.00 0.90 5755.42 51.84 1 in 174
Vermont 1527 12 0.79 125 58 0 0.00 3.80 2447.16 92.95 1 in 409

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 9933780 629415 6.34 2637202 171294 6.50 251410.3
2 Florida 4252876 576094 13.55 821379 143347 17.45 198013.2
3 Texas 4476167 561110 12.54 1047285 160774 15.35 154372.5
4 New York 7125087 425916 5.98 1497938 13572 0.91 366261.3
5 Georgia 2027417 238861 11.78 574454 68018 11.84 190951.9
6 Illinois 3406429 209185 6.14 863053 35291 4.09 268819.2
7 Arizona 1098388 194005 17.66 220055 30178 13.71 144242.1
8 New Jersey 2511070 187767 7.48 527229 7955 1.51 282708.4
9 North Carolina 1935472 145516 7.52 299996 30600 10.20 184540.1
10 Louisiana 1674289 138485 8.27 414267 28568 6.90 360155.6
11 Tennessee 1871108 134744 7.20 459656 38255 8.32 273827.1
12 Pennsylvania 1467319 129647 8.84 316631 16652 5.26 114616.5
13 Massachusetts 1464914 123841 8.45 333757 7915 2.37 210794.1
14 Ohio 1849016 109062 5.90 504918 23885 4.73 158182.9
15 Alabama 852923 109004 12.78 194964 27889 14.30 173952.9
16 Virginia 1373442 107421 7.82 334231 21349 6.39 160909.0
17 South Carolina 873547 106953 12.24 214646 24536 11.43 169663.1
18 Michigan 2340207 102749 4.39 639718 15576 2.43 234328.7
19 Maryland 1157612 100715 8.70 302094 15839 5.24 191477.5
20 Indiana 914633 81006 8.86 206842 18099 8.75 135859.1
21 Mississippi 524589 72412 13.80 96992 19631 20.24 176264.4
22 Missouri 858617 69225 8.06 216713 25736 11.88 139898.5
23 Washington 1017568 67721 6.66 98221 14400 14.66 133628.7
24 Wisconsin 1136755 66196 5.82 259569 16779 6.46 195237.1
25 Minnesota 1000023 65716 6.57 29297 13913 47.49 177320.6
26 Nevada 551423 61967 11.24 106744 18136 16.99 179024.4
27 Colorado 873051 53351 6.11 375263 8804 2.35 151604.6
28 Arkansas 622462 53077 8.53 137571 13630 9.91 206261.8
29 Iowa 553984 52829 9.54 99139 10133 10.22 175585.3
30 Connecticut 981968 51267 5.22 236917 2284 0.96 275424.7
31 Oklahoma 755330 48711 6.45 187016 16026 8.57 190885.9
32 Utah 601795 46894 7.79 91937 8485 9.23 187711.4
33 Kentucky 716816 39691 5.54 169366 12105 7.15 160445.0
34 Kansas 354262 34614 9.77 75326 8810 11.70 121601.0
35 Nebraska 322991 30563 9.46 64164 5664 8.83 166971.5
36 Idaho 224487 27937 12.44 56493 9245 16.36 125267.2
38 New Mexico 670573 23500 3.50 149855 3998 2.67 319803.4
39 Oregon 491217 23451 4.77 108651 6363 5.86 116464.6
40 Rhode Island 431005 20572 4.77 234387 2057 0.88 406853.8
41 Delaware 212638 16536 7.78 39579 2130 5.38 218367.1
42 District of Columbia 245655 13273 5.40 71507 1415 1.98 348077.0
43 South Dakota 129293 10360 8.01 22466 1916 8.53 146150.1
44 North Dakota 180419 8647 4.79 32053 2661 8.30 236751.1
45 West Virginia 360839 8641 2.39 94806 2642 2.79 201907.9
46 New Hampshire 185971 7004 3.77 32362 563 1.74 136772.5
47 Montana 204725 5792 2.83 46070 2412 5.24 191550.5
48 Hawaii 161948 5215 3.22 47833 3504 7.33 114380.4
49 Alaska 305648 4309 1.41 98280 1686 1.72 417811.6
50 Maine 212554 4197 1.97 55113 365 0.66 158125.4
51 Wyoming 60898 3331 5.47 12555 811 6.46 105221.7
52 Vermont 113223 1527 1.35 22606 125 0.55 181450.3

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 615477 11119 1.84 437870 71.14 156608 20687 422 2.08 3.36
Tamil Nadu 349654 5709 1.66 289787 82.88 53860 6007 121 2.06 1.72
Andhra Pradesh 306261 9652 3.25 218311 71.28 85130 2820 88 3.22 0.92
Karnataka 240948 7665 3.29 156949 65.14 79782 4201 130 3.19 1.74
Uttar Pradesh 162434 4218 2.67 109607 67.48 50242 2585 70 2.78 1.59
Delhi 154741 1374 0.90 139447 90.12 11068 4226 12 0.28 2.73
West Bengal 122753 3175 2.66 92690 75.51 27535 2528 55 2.22 2.06
Bihar 109875 3257 3.05 80740 73.48 28576 558 16 2.95 0.51
Telangana 93937 1682 1.82 72202 76.86 21024 711 8 1.14 0.76
Assam 82202 2534 3.18 58295 70.92 23701 203 6 3.05 0.25
Gujarat 80942 1126 1.41 63810 78.83 14312 2820 20 0.71 3.48
Odisha 64533 2239 3.59 45315 70.22 18803 415 9 2.22 0.64
Rajasthan 63977 1347 2.15 48960 76.53 14119 898 11 1.24 1.40
Haryana 48936 896 1.87 41298 84.39 7081 557 7 1.27 1.14
Kerala 47898 1758 3.81 31390 65.54 16274 176 6 3.53 0.37
Madhya Pradesh 47375 990 2.13 35713 75.38 10521 1141 13 1.15 2.41
Punjab 34400 1705 5.21 21762 63.26 11740 898 36 4.18 2.61
Jammu and Kashmir 29326 434 1.50 21886 74.63 6879 561 13 2.37 1.91
Jharkhand 25333 1266 5.26 15709 62.01 9359 265 10 3.92 1.05
Chhattisgarh 16833 808 5.04 10847 64.44 5828 158 8 5.33 0.94
Uttarakhand 12961 468 3.75 8724 67.31 4024 164 6 3.80 1.27
Goa 12333 339 2.83 8356 67.75 3861 116 5 4.50 0.94
Puducherry 8396 367 4.57 4909 58.47 3364 123 9 7.89 1.46
Tripura 7424 205 2.84 5404 72.79 1940 62 3 5.08 0.84
Manipur 4765 78 1.66 2789 58.53 1958 18 1 5.88 0.38
Himachal Pradesh 4235 61 1.46 2923 69.02 1252 18 0 0.00 0.43
Nagaland 3520 65 1.88 1664 47.27 1842 7 0 0.00 0.20
Arunachal Pradesh 2875 134 4.89 1949 67.79 921 5 0 0.00 0.17
Andaman and Nicobar Islands 2529 84 3.44 1421 56.19 1078 30 1 3.45 1.19
Chandigarh 2305 89 4.02 1243 53.93 1030 30 0 0.00 1.30
Ladakh 2010 44 2.24 1395 69.40 598 17 3 21.43 0.85
Dadra and Nagar Haveli and Daman and Diu 1959 51 2.67 1519 77.54 421 2 0 0.00 0.10
Meghalaya 1457 37 2.61 685 47.01 766 6 0 0.00 0.41
Sikkim 1207 20 1.68 755 62.55 450 2 1 100.00 0.17
Mizoram 815 26 3.30 379 46.50 436 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1417928 97423 43 0.04 6.87 147 14 5335 16840 17.29
Piemonte 537147 32100 16 0.05 5.98 75 2 874 4140 12.90
Emilia-Romagna 772052 30477 41 0.13 3.95 74 4 1814 4453 14.61
Veneto 1380393 21256 46 0.22 1.54 37 4 1634 2096 9.86
Toscana 471051 10854 21 0.19 2.30 11 4 687 1139 10.49
Liguria 212088 10474 16 0.15 4.94 22 3 295 1569 14.98
Lazio 460225 9178 51 0.56 1.99 212 9 1329 870 9.48
Marche 184009 7043 8 0.11 3.83 12 1 195 987 14.01
Campania 363297 5312 34 0.64 1.46 47 1 567 440 8.28
P.A. Trento 169839 5004 1 0.02 2.95 1 1 59 405 8.09
Puglia 268294 4862 4 0.08 1.81 49 2 325 555 11.42
Sicilia 310605 3780 14 0.37 1.22 54 6 718 286 7.57
Abruzzo 141205 3565 5 0.14 2.52 27 1 255 472 13.24
Friuli Venezia Giulia 284959 3512 5 0.14 1.23 6 3 201 348 9.91
P.A. Bolzano 122522 2804 2 0.07 2.29 8 1 127 292 10.41
Umbria 133375 1549 1 0.06 1.16 10 1 85 80 5.16
Sardegna 118084 1500 7 0.47 1.27 9 0 110 134 8.93
Calabria 136604 1352 4 0.30 0.99 8 1 149 97 7.17
Valle d’Aosta 23366 1218 1 0.08 5.21 1 0 8 146 11.99
Molise 30031 487 0 0.00 1.62 0 0 35 23 4.72
Basilicata 51009 485 0 0.00 0.95 0 0 65 28 5.77

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 61206 55 0.09 5721 1 0.02 9.35 7168.93 670.09 1 in 139
Ontario 42686 123 0.29 2836 0 0.00 6.64 2901.48 192.77 1 in 345
Alberta 12053 0 0.00 221 0 0.00 1.83 2731.16 50.08 1 in 366
British Columbia 4358 0 0.00 196 0 0.00 4.50 852.68 38.35 1 in 1173
Saskatchewan 1581 1 0.06 22 0 0.00 1.39 1337.94 18.62 1 in 747
Nova Scotia 1075 1 0.09 64 0 0.00 5.95 1099.79 65.48 1 in 909
Manitoba 731 34 4.88 9 0 0.00 1.23 530.66 6.53 1 in 1884
Newfoundland and Labrador 268 0 0.00 3 0 0.00 1.12 514.04 5.75 1 in 1945
New Brunswick 186 0 0.00 2 0 0.00 1.08 238.46 2.56 1 in 4194
Prince Edward Island 41 0 0.00 0 0 NaN 0.00 259.23 0.00 1 in 3858
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4524 69 1.53
Guangdong 1721 8 0.46
Henan 1276 22 1.72
Zhejiang 1275 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 932 1 0.11
Xinjiang 902 3 0.33
Shanghai 842 7 0.83
Shandong 822 7 0.85
Jiangsu 664 0 0.00
Sichuan 626 3 0.48
Chongqing 583 6 1.03
Fujian 370 1 0.27
Shaanxi 356 3 0.84
Hebei 351 6 1.71
Liaoning 261 2 0.77
Inner Mongolia 260 1 0.38
Guangxi 255 2 0.78
Tianjin 209 3 1.44
Shanxi 201 0 0.00
Yunnan 195 2 1.03
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 16620.80 521.08 1 in 60
Brazil 16051.46 518.57 1 in 62
India 2018.43 38.68 1 in 495
Russia 6405.25 108.70 1 in 156
South Africa 10399.96 211.25 1 in 96
Peru 16659.81 816.94 1 in 60
Mexico 4069.14 441.35 1 in 246
Colombia 9713.88 313.27 1 in 103
Chile 21468.25 582.44 1 in 47
Spain 7695.71 613.93 1 in 130
Iran 4256.41 244.01 1 in 235
United Kingdom 4832.39 623.93 1 in 207
Saudi Arabia 9104.86 104.31 1 in 110
Argentina 6756.86 131.33 1 in 148
Pakistan 1468.10 31.35 1 in 681
Bangladesh NA NA 1 in NA
France 3829.42 454.31 1 in 261
Italy 4203.62 585.32 1 in 238
Turkey 3100.38 74.20 1 in 323
Germany 2738.25 111.56 1 in 365

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 230458 23634 10.26
Los Angeles California 223230 5273 2.36
Miami-Dade Florida 146026 2081 1.43
Maricopa Arizona 129562 2596 2.00
Cook Illinois 116620 4964 4.26
Harris Texas 92944 1838 1.98
Broward Florida 66826 1013 1.52
Dallas Texas 65278 829 1.27
Clark Nevada 53458 913 1.71
Riverside California 45662 881 1.93
Suffolk New York 44185 1998 4.52
Bexar Texas 44122 892 2.02
Nassau New York 43955 2195 4.99
Orange California 43925 810 1.84
San Bernardino California 41564 568 1.37
Palm Beach Florida 39274 992 2.53
Westchester New York 36486 1447 3.97
Tarrant Texas 35997 504 1.40
San Diego California 34678 626 1.81
Hillsborough Florida 34368 487 1.42
Orange Florida 33486 351 1.05
Philadelphia Pennsylvania 32348 1717 5.31
Wayne Michigan 29217 2839 9.72
Kern California 26788 204 0.76
Middlesex Massachusetts 26565 2006 7.55
Shelby Tennessee 24798 334 1.35
Duval Florida 24731 222 0.90
Prince George’s Maryland 24719 768 3.11
Travis Texas 24409 335 1.37
Mecklenburg North Carolina 23164 258 1.11
Milwaukee Wisconsin 22334 466 2.09
Fulton Georgia 22107 476 2.15
Suffolk Massachusetts 22017 1076 4.89
Hidalgo Texas 22013 955 4.34
Davidson Tennessee 22005 230 1.05
Salt Lake Utah 21870 212 0.97
Gwinnett Georgia 21655 290 1.34
Bergen New Jersey 21277 2036 9.57
Hennepin Minnesota 20625 851 4.13
Essex New Jersey 19938 2111 10.59
Hudson New Jersey 19911 1508 7.57
Fresno California 19900 203 1.02
Pima Arizona 19743 531 2.69
Franklin Ohio 19683 537 2.73
Montgomery Maryland 19071 810 4.25
Pinellas Florida 18774 558 2.97
El Paso Texas 18486 361 1.95
Fairfield Connecticut 18317 1411 7.70
Middlesex New Jersey 18119 1415 7.81
Cameron Texas 18005 565 3.14
Passaic New Jersey 17963 1244 6.93
Essex Massachusetts 17930 1194 6.66
King Washington 17745 694 3.91
Lee Florida 17451 375 2.15
Nueces Texas 17124 290 1.69
Fairfax Virginia 17070 535 3.13
Out of GA Georgia 17020 103 0.61
Union New Jersey 16879 1350 8.00
St. Louis Missouri 16764 701 4.18
Marion Indiana 16706 735 4.40
Oakland Michigan 16547 1142 6.90
Jefferson Louisiana 15815 531 3.36
Providence Rhode Island 15644 0 0.00
Polk Florida 15506 360 2.32
Alameda California 15123 221 1.46
DeKalb Georgia 15101 264 1.75
San Joaquin California 15008 269 1.79
Cobb Georgia 14962 340 2.27
Santa Clara California 14429 209 1.45
Cuyahoga Ohio 14418 528 3.66
Sacramento California 14326 218 1.52
Jefferson Alabama 14059 262 1.86
Baltimore Maryland 14043 574 4.09
Rockland New York 14011 674 4.81
Worcester Massachusetts 13686 1007 7.36
Baltimore City Maryland 13507 444 3.29
New Haven Connecticut 13378 1109 8.29
Lake Illinois 13375 450 3.36
District of Columbia District of Columbia 13273 597 4.50
DuPage Illinois 13032 526 4.04
Hartford Connecticut 12956 1420 10.96
Charleston South Carolina 12911 214 1.66
East Baton Rouge Louisiana 12875 384 2.98
Wake North Carolina 12754 183 1.43
Fort Bend Texas 12623 194 1.54
Stanislaus California 12541 198 1.58
Tulare California 12451 206 1.65
Douglas Nebraska 12137 143 1.18
Yuma Arizona 11886 294 2.47
Oklahoma Oklahoma 11715 132 1.13
Tulsa Oklahoma 11443 116 1.01
Contra Costa California 11408 157 1.38
Macomb Michigan 11405 955 8.37
Greenville South Carolina 11277 229 2.03
Orange New York 11256 491 4.36
Mobile Alabama 11074 228 2.06
Polk Iowa 11036 211 1.91
Orleans Louisiana 11027 568 5.15
Collier Florida 10918 154 1.41
Ocean New Jersey 10763 1020 9.48

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc